A neural network-based law machine should be capable of emulating the inherently parallel reasoning process of the lawyer and thus, of providing a superior platform for the modeling of the legal reasoning process. However, the obscurity of their representation of knowledge makes it difficult to establish the legitimacy of a network’s results in terms of the law.